PAY RANGE

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates.
$159,000.00 - $305,000.00

APPLICANTS WITH DISABILITIES

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .

WELLS FARGO RECRUITMENT AND HIRING REQUIREMENTS:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process

Required Qualifications:

• 5+ years of experience in modernizing applications, including migrating workloads from traditional virtual machines to containerized environments and cloud platforms
• 5+ years of experience in data analytics, with at least a strong focus on cloud-native or DevOps environments
• 3+ years of hands-on experience with Kubernetes-based platforms (OpenShift, AKS, or GKE)
• 3+ years working in data analytics to support application right-sizing, blueprint creation, and optimization of deployment pattern

Desired Qualifications:

• Strong proficiency in SQL, Python, and data visualization tools (e.g., Grafana, Looker, Power BI).
• Hands-on experience with Kubernetes, container orchestration, and cloud platforms (AWS, Azure, or GCP).
• Familiarity with IaC tools such as Terraform, Pulumi, Ansible, or Helm.
• Proven ability to translate complex technical data into actionable insights for engineering teams.
• Excellent communication and stakeholder management skills

Wells Fargo is seeking an Application Modernization Analyst with deep expertise in cloud-native technologies, developer experience, and infrastructure automation. This role will drive strategic insights and data-driven decision-making across our engineering platforms, with a focus on optimizing Kubernetes environments, streamlining developer workflows, and enhancing infrastructure-as-code (IaC) practices.

In this role, you will:

• Analyze performance, usage, and reliability metrics across Kubernetes clusters and CI/CD pipelines.
• Identify bottlenecks and recommend improvements to developer workflows and infrastructure provisioning.
• Collaborate with platform engineering teams to understand developer pain points.
• Design and maintain dashboards that track developer productivity, deployment frequency, and system health.
• Evaluate and improve IaC practices using tools like Terraform, Pulumi, or Helm.
• Provide data-driven recommendations for automating infrastructure provisioning and configuration.
• Define and implement data collection strategies across cloud-native environments.
• Ensure data quality, consistency, and compliance with internal governance policies.
• Partner with DevOps, SRE, and software engineering teams to align data initiatives with platform goals.
• Present findings to senior leadership and influence strategic decisions.

Required Qualifications:

• 5+ years of experience in modernizing applications, including migrating workloads from traditional virtual machines to containerized environments and cloud platforms
• 5+ years of experience in data analytics, with at least a strong focus on cloud-native or DevOps environments
• 3+ years of hands-on experience with Kubernetes-based platforms (OpenShift, AKS, or GKE)
• 3+ years working in data analytics to support application right-sizing, blueprint creation, and optimization of deployment patterns

Desired Qualifications:

• Strong proficiency in SQL, Python, and data visualization tools (e.g., Grafana, Looker, Power BI).
• Hands-on experience with Kubernetes, container orchestration, and cloud platforms (AWS, Azure, or GCP).
• Familiarity with IaC tools such as Terraform, Pulumi, Ansible, or Helm.
• Proven ability to translate complex technical data into actionable insights for engineering teams.
• Excellent communication and stakeholder management skills.

Job Expectations:

• Telecommuting is not an option for this position
• This position offers a hybrid work schedule
• Relocation assistance in not available for this position
• This position is not eligible for visa sponsorship